Develop and maintain Harvey’s internal backend frameworks and libraries that provide common capabilities (API routing, service lifecycle management, caching and messaging primitives, error handling interfaces, etc.), so product teams don’t have to reinvent them
Create and improve APIs, service templates, and versioned interfaces that establish consistent patterns for building new services and features
Introduce and champion modern backend architecture patterns like asynchronous I/O (asyncio) and streaming data processing, continually evolving our platform for better performance and scalability
Design Harvey-specific abstractions and domain-specific frameworks—covering cross-cutting concerns (e.g., authorization, streaming) and areas like data governance and event processing—to provide product engineers with these capabilities out of the box
Embed reliability and observability into the platform by building in tracing, metrics, and automated tests (shift-left), ensuring services built on our foundation are robust and easy to monitor
Collaborate with Model Infrastructure team to tackle challenges unique to GenAI-native applications — such as supporting high-throughput model inference, managing streaming and long-running API interactions, and designing abstractions for retrieval, context handling, and prompt lifecycle
Collaborate with the Developer Experience and Infrastructure teams (who own CI/CD pipelines, build tools, and release infrastructure) to integrate our platform components seamlessly into the deployment and monitoring ecosystem
Work closely with product engineering teams to gather feedback, evangelize best practices, and make the “paved road” approach a reality — providing strong defaults and clear documentation so teams can move fast with confidence